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Salary
≈ $12k – $31k per year (Estimated)
Location
In office (Chennai)
Seniority
Junior · 10+ years exp

First seen by Alion on Oct 25, 2026.

Overview
Company
Impact
Profile match
Prodapt provides technology services focused exclusively on the connectedness industry. Its clients include telecom operators, cable providers and digital service platforms. The company works on network engineering, operations support systems and automation.

We are seeking a seasoned Architect (FDE-1) with deep expertise in Cloud, AI/ML, and Generative AI to drive the design and development of scalable, intelligent systems. This role demands strong architectural thinking, hands-on technical leadership, and the ability to build robust API-driven and data-intensive platforms.


Responsibilities:

  • Define and lead architecture for cloud-native AI/ML and GenAI solutions.
  • Design scalable and secure API frameworks and microservices architectures.
  • Build and oversee data pipelines (ETL/ELT) for large-scale AI/ML systems.
  • Architect end-to-end solutions integrating Generative AI and LLM capabilities.
  • Ensure high performance, scalability, and reliability of platforms.
  • Collaborate with engineering, data science, and product teams to translate business requirements into technical solutions.
  • Provide technical leadership, best practices, and architectural governance.
  • Mentor senior engineers and guide teams on design and implementation.


Requirements:

  • Experience: 10-16 Years.
  • Strong experience in Cloud platforms (AWS, Azure, or GCP).
  • Deep understanding of AI/ML and Generative AI (LLMs, model integration, and deployment).
  • Expertise in API design and development (REST, GraphQL, microservices).
  • Hands-on experience with data pipelines and ETL/ELT processes.
  • Strong knowledge of distributed systems and scalable architectures.
  • Proficiency in backend technologies (preferably Python).
  • Experience in designing data-driven systems and data modeling.


Preferred Qualifications:

  • Experience with MLOps and model lifecycle management.
  • Familiarity with frameworks like TensorFlow, PyTorch, or similar.
  • Knowledge of containerization and orchestration (Docker, Kubernetes).
  • Exposure to real-time data processing and streaming architectures.
  • Proven experience in an architect or senior leadership role.

Skills

AI, AWS, Azure, ETL, GCP, GraphQL, LLM, ML, Python, REST, cloud, microservices

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